Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

Getachew Workineh Gella; Charlotte Pelletier; Sebastien Lefevre; Lorenz Wendt; Dirk Tiede; Stefan Lang

doi:10.1109/JSTARS.2023.3336929

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

Getachew Workineh Gella^*, Charlotte Pelletier, Sebastien Lefevre, Lorenz Wendt, Dirk Tiede, Stefan Lang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1701-1718
Number of pages	18
Journal	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume	17
DOIs	https://doi.org/10.1109/JSTARS.2023.3336929
Publication status	Published - 2024

Bibliographical note

Publisher Copyright:
© 2008-2012 IEEE.

Keywords

Deep learning
domain similarity
dwelling extraction
humanitarian response
instance segmentation
unsupervised domain adaptation

Fields of Science and Technology Classification 2012

105 Geosciences

Access to Document

10.1109/JSTARS.2023.3336929

Cite this

@article{dd6e65a49c3041338590d14155b23101,

title = "Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings",

keywords = "Deep learning, domain similarity, dwelling extraction, humanitarian response, instance segmentation, unsupervised domain adaptation",

author = "Gella, {Getachew Workineh} and Charlotte Pelletier and Sebastien Lefevre and Lorenz Wendt and Dirk Tiede and Stefan Lang",

note = "Publisher Copyright: {\textcopyright} 2008-2012 IEEE.",

year = "2024",

doi = "10.1109/JSTARS.2023.3336929",

language = "English",

volume = "17",

pages = "1701--1718",

journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",

issn = "1939-1404",

publisher = "Institute of Electrical and Electronics Engineers",

}

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings. / Gella, Getachew Workineh; Pelletier, Charlotte; Lefevre, Sebastien et al.
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, 2024, p. 1701-1718.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Unsupervised Domain Adaptation for Instance Segmentation

T2 - Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

AU - Gella, Getachew Workineh

AU - Pelletier, Charlotte

AU - Lefevre, Sebastien

AU - Wendt, Lorenz

AU - Tiede, Dirk

AU - Lang, Stefan

PY - 2024

Y1 - 2024

KW - Deep learning

KW - domain similarity

KW - dwelling extraction

KW - humanitarian response

KW - instance segmentation

KW - unsupervised domain adaptation

UR - http://www.scopus.com/inward/record.url?scp=85181804527&partnerID=8YFLogxK

U2 - 10.1109/JSTARS.2023.3336929

DO - 10.1109/JSTARS.2023.3336929

M3 - Article

AN - SCOPUS:85181804527

SN - 1939-1404

VL - 17

SP - 1701

EP - 1718

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ER -

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

Bibliographical note

Keywords

Fields of Science and Technology Classification 2012

Access to Document

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Cite this